Geostatistical methods are one of the advanced techniques used for interpolation of groundwater quality data. The results obtained from geostatistics will be useful for decision makers to adopt suitable remedial measures to protect the quality of groundwater sources. Data used in this study were collected from 78 wells in Varamin plain aquifer located in southeast of Tehran, Iran, in 2013. Ordinary kriging method was used in this study to evaluate groundwater quality parameters. According to what has been mentioned in this paper, seven main quality parameters (i.e. total dissolved solids (TDS), sodium adsorption ratio (SAR), electrical conductivity (EC), sodium (Na + ), total hardness (TH), chloride (Cl − ) and sulfate (SO 4 2− )), have been analyzed and interpreted by statistical and geostatistical methods. After data normalization by Nscore method in WinGslib software, variography as a geostatistical tool to define spatial regression was compiled and experimental variograms were plotted by GS + software. Then, the best theoretical model was fitted to each variogram based on the minimum RSS. Cross validation method was used to determine the accuracy of the estimated data. Eventually, estimation maps of groundwater quality were prepared in WinGslib software and estimation variance map and estimation error map were presented to evaluate the quality of estimation in each estimated point. Results showed that kriging method is more accurate than the traditional interpolation methods.
Almost all collapses of rock slopes especially in open pit mines are related to discontinuities such as bedding planes, faults and major joints. Geostatistical assessments can be used for understanding the distribution of regionalized variables in any spatial study. In this paper3D spatial dispersion of the fault planes in the Gole Gohar open pit iron mine, located in Kerman province, south east of Iran, is modeled. Then, regionalized variable theory is used to analyze and interpret spatial distribution of the following geotechnical parameters: Geological strength index (GSI), Rock quality designation (RQD), Cohesion (C) and angle of internal friction (ϕ). In order to define regionalized variable distribution, variogram functions were determined for identifying the regional behavior. Structural analysis of variograms showed that the mentioned parameters have spatial structures that make it possible to set up a geostatistical model to predict their values for each non-sampled block on the pit wall. Results showed that there is a relation between the low values of geotechnical parameters and the existence of discontinuities around the pit area. The role of discontinuities in the occurrence of collapses in the area was clearly demonstrated by comparing the estimated parameters models and the model of discontinuities dispersion.
Rock slope instabilities are a major hazard for human activities often causing economic losses, property damages and maintenance costs, as well as injuries or fatalities. For slope stability analysis of open pit mines, series of studies must be carried out in order to identify the criteria which should take into consideration. In this research geotechnical parameters; Geological Strength Index (GSI), Rock Quality Designation (RQD), Cohesion (C), angle of internal friction (φ), uniaxial compressive strength (UCS) and Rock mass deformation modulus (Em) which are obtained from data measured within geotechnical boreholes and pore pressure (U) are considered as the criteria to evaluate stability of pit No.1 of the Gole Gohar iron mine, located in Kerman province, south east of Iran. Since human judgments and preferences are often vague and complex and decision makers cannot estimate their preferences with an exact scale, we can only give linguistic assessments instead of exact ones. So fuzzy set theory introduced into Analytical Hierarchy Process (AHP). Fuzzy AHP (FAHP) is put forward to solve such uncertain problems. In this paper, FAHP method is used to determine the weights of the criteria by decision makers and then classification of the stability of blocks are determined by TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method by the shortest distance to positive ideal solution (PIS) and the longest distance to negative ideal solution (NIS).
Objective: This review aimed to evaluate the efficacy and safety of mirabegron as monotherapy and its combination with solifenacin for patients with overactive bladder (OAB). Material & Methods: A systematic search was conducted in PubMed, Google Scholar, and Science Direct using the keywords Overactive bladder or OAB and mirabegron or beta-3 agonist or β3 adrenoreceptor agonist and solifenacin or antimuscarinic based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guideline to include relevant randomized controlled trials (RCT)s. The included studies were assessed for their risks of bias using the Cochrane risk of bias tool for randomized controlled trials. Quantitative analysis using forest plot was performed in Review Manager 5.4. Results: A total of 4 RCTs were included from 227 studies. A fixed-effects model was chosen due to the low level of heterogeneity between the studies (I2 = 0%). The average micturition volume of patients in the combination group is higher compared to the monotherapy group (MD 17.13, 95% CI 12.78 - 21.48, p < 0.00001). The mean micturition frequency (MD - 0.54, 95% CI - 0.73 - -0.34, p < 0.00001) and incontinence incidence (MD -0.30, 95% CI -0.48 - -0.12, p = 0.001) in the combined group are significantly lower compared to the monotherapy group. Conclusion: The combination of mirabegron and solifenacin has better efficacy compared to mirabegron as monotherapy for OAB patients with a therapy duration of less than 12 weeks based on the micturition volume, micturition frequency, and incontinence incidence. The administration of combination therapy would not increase adverse event incidence compared to monotherapy.
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